Characterizing a Vehicle Collision

1. A method comprising: detecting a potential collision using a first type of vehicle movement data obtained by a monitoring device installed in a vehicle, the monitoring device comprising at least an accelerometer; determining a time period by extending before and after a time the potential collision is detected; obtaining a second type of vehicle movement data by the monitoring device, wherein the second type of vehicle movement data describes operation of the vehicle during the time period; and in response to detecting the potential collision, determining whether the vehicle experienced a collision and, in a case that the vehicle experienced a collision, one or more attributes of the collision, wherein the determining comprises analyzing at least the second type of vehicle movement data using at least one classifier trained to identify types of collisions, and wherein the one or more attributes of the collision comprise a forward-backward collision and/or a broadside collision.

2. The method of claim 1, wherein: the first type of vehicle movement data comprises acceleration data; and the second type of vehicle movement data comprises speed data.

3. The method of claim 2, wherein the first type of vehicle movement data comprises a total acceleration based on accelerations of the vehicle in a plurality of directions.

4. The method of claim 1, wherein the types of collisions that can be identified by the at least one classifier comprise a no-collision type, and wherein determining whether the vehicle experienced a collision comprises: determining there is a match between the vehicle movement data and the no-collision type; and in response to determining the match, determining the vehicle did not experience a collision.

5. The method of claim 4, wherein determining there is a match between the vehicle movement data and the no-collision type comprises: determining a probability indicating a level of match between the vehicle movement data and the non-collision type; and in response to determining that the probability exceeds a threshold, determining that there is a match between the vehicle movement data and the no-collision type.

6. The method of claim 1, wherein the one or more attributes of the collision comprise a severity of collision.

7. The method of claim 6, further comprising: in response to determining that the one or more attributes of the collision comprise at least a severe collision, triggering a dispatch of a type of service, wherein the type of service is based on the angle of impact.

8. The method of claim 1, wherein the one or more attributes of the collision comprise a front-end collision and/or a rear-end collision, and wherein the method further comprises: in response to determining that the one or more attributes of the collision comprise at least one of a front-end collision and a rear-end collision, determining a liability of the potential collision.

9. The method of claim 1, wherein: the vehicle movement data comprises forward and backward movement data and right-left movement data; and determining the one or more attributes of the collision comprises: for a respective type of the types of collisions that can be identified by the at least one classifier, calculating a probability indicating a level of match between the respective type and the vehicle movement data; and determining the one or more attributes of the collision based on the probabilities for the types of collision that can be identified by the at least one classifier.